Background: Studies of outcome differences by sex in out-of-hospital cardiac arrest (OHCA) have produced mixed results that may depend on age, a potential surrogate for menopausal status.
Objective: We used quantitative measures of ventricular fibrillation (VF) waveforms - indicators of the myocardium's physiology - to assess whether survival differences according to sex and age group may be mediated via a biologic mechanism.
Methods: We conducted a cohort study of VF-OHCA in a metropolitan EMS system. We used multivariable logistic regression to assess the association of survival to hospital discharge with sex and age group (<55, ≥55 years). We determined the proportion of outcome difference mediated by VF waveform measures: VitalityScore and amplitude spectrum area (AMSA).
Results: Among 1526 VF-OHCA patients, the average age was 62 years, and 29% were female. Overall, younger women were more likely to survive than younger men (survival 67% vs 54%, p = 0.02), while survival among older women and older men did not differ (40% vs 44%, p = 0.3). Adjusting for Utstein characteristics, women <55 compared to men <55 had greater odds of survival to hospital discharge (OR = 1.93, 95% CI 1.23-3.09), an association not observed between the ≥55 groups. Waveform measures were more favorable among women and mediated some of the beneficial association between female sex and survival among those <55 years: 47% for VitalityScore and 25% for AMSA.
Conclusions: Women <55 years were more likely to survive than men <55 years following VF-OHCA. The biologic mechanism represented by VF waveform mediated some, though not all, of the outcome difference.
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http://dx.doi.org/10.1016/j.resuscitation.2023.109891 | DOI Listing |
J Interv Card Electrophysiol
January 2025
Department of Cardiovascular Sciences, East Carolina Heart Institute at ECU, East Carolina University, 115 Heart Drive, Greenville, NC, 27834, USA.
Egypt Heart J
January 2025
Department of Cardiology, Lianyungang No 1 People's Hospital, No. 6 East Zhenhua Road, Haizhou District, Lianyungang, 222061, Jiangsu, China.
Background: The rate at which atrial fibrillation (AF) patients experience a return of symptoms after catheter ablation is significant, and there are multiple risk factors involved. This research intends to perform a meta-analysis to explore the risk factors connected to the recurrence of AF in patients following catheter ablation.
Methods: The PubMed, Cochrane Library, WOS, Embase, SinoMed, CNKI, Wanfang, and VIP databases were explored for studies from January 1, 2000 to August 10, 2021, and research meeting the established inclusion requirements was chosen.
Endocr Connect
January 2025
C Guimard, Department of Medicine, Clinique Jules Verne, Nantes, France.
Objective: Hypercalcemia is often considered as an emergency because of a potential risk life-threatening arrhythmias or coma. However, there is little evidence, apart from case studies, that hypercalcemia can be immediately life-threatening. The aim of our study was to assess prospectively, if hypercalcemia (Ca ≥ 3 mmol/L) was associated with immediately life-threatening complications.
View Article and Find Full Text PDFJ Cardiovasc Electrophysiol
January 2025
Department of Cardiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Ryanodine receptor 2 (RyR2) protein, a calcium ion release channel in the sarcoplasmic reticulum (SR) of myocardial cells, plays a crucial role in regulating cardiac systolic and diastolic functions. Mutations in RyR2 and its dysfunction are implicated in various congenital heart diseases (CHDs). Studies have shown that mutations in the RYR2 gene, which encodes the RyR2 protein, are linked to several cardiac arrhythmias, including catecholaminergic polymorphic ventricular tachycardia (CPVT), long QT syndrome (LQTS), calcium release deficiency syndrome (CRDS), and atrial fibrillation (AF).
View Article and Find Full Text PDFJACC Asia
December 2024
Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Background: Few studies have incorporated echocardiography and laboratory data to predict clinical outcomes in heart failure with preserved ejection fraction (HFpEF).
Objectives: This study aimed to use machine learning to find predictors of heart failure (HF) hospitalization and cardiovascular (CV) death in HFpEF.
Methods: From the Chang Gung Research Database in Taiwan, 6,092 HFpEF patients (2,898 derivation, 3,194 validation) identified between 2008 and 2017 were followed until 2019.
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